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High adherence and its influencing factors on multiple micronutrient powders (MNPs).

ABSTRACT: Adherence to home fortification of foods with multiple micronutrient powders (MNPs) is an essential indicator of effective implementation of MNP programmes. A meta-analysis was conducted to evaluate the high adherence rate (HAR) to MNPs and further investigate the factors that influence HAR. We searched PubMed, Web of Science, Embase, CAB Abstracts, MEDLINE (OVID), Cochrane Library, China National Knowledge Infrastructure, Wanfang and VP, from the date of database inception to 9 November 2020. We included peer-reviewed observational studies that investigated adherence to MNPs. Data on the HAR to MNPs and influencing factors on HAR were extracted and then pooled together. A total of 10 studies were included. The pooled HAR to MNPs was 63.28% (51.12%-74.64%). Among HARs, rates were higher in middle-income countries (65.21%) than low-income countries (55.23%). Parental age over 30 years (maternal age OR = 1.25, 95% CI: 1.08-1.44; paternal age OR = 1.17, 95% CI: 1.04-1.32), children aged 18-36 months (OR = 1.45, 95% CI: 1.12-1.88), maternal educational attainment of college or above (OR = 1.38, 95% CI:1.10-1.73), caregiver with the perception that other mothers use MNPs (OR = 1.52, 95% CI:1.19-1.95), caregiver being aware of the importance of iron (OR = 1.42, 95% CI: 1.18-1.71), caregiver having correct knowledge of MNPs (OR = 1.36, 95% CI:1.19-1.57) and caregiver reporting children have no side effects from MNPs (OR = 2.77, 95% CI: 2.46-3.11) were contributing factors to high adherence to MNPs. The overall HAR to MNPs was relatively low; hence, effective and trusted communication channels need to be established, along with more thorough dissemination of the knowledge of MNPs to caregivers, to improve MNPs adherence rates, especially in low-income countries.

SUBMITTER: Liu R

PROVIDER: S-EPMC8710102 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundNon-adherence is widespread problem. Adherence is a crucial point for the success and the safe use of therapies. The objective of this overview (review of reviews) was to identify factors that influence adherence in chronic physical conditions.MethodsA systematic literature search was performed in Medline and Embase (1990 to July 2013). Publications were screened according to predefined inclusion criteria. The study quality was assessed using AMSTAR. Both process steps were carried out independently by two reviewers. Relevant data on study characteristics and results were extracted in piloted standardized tables by one reviewer and checked by a second. Data were synthesized using a standardized quantitative approach by two reviewers.ResultsSeven systematic reviews were included. Higher education and employment seem to have a positive effect on adherence. Ethnic minorities seem to be less adherent. Co-payments and higher medication cost seems to have negative effect on adherence. In contrast financial status/income and marital status seem to have no influence on adherence. The effect of therapy related factors was mostly unclear or had no effect. Only the number of different medications in heart failure patients showed the tendency of an effect. Indicators of regime complexity showed consistently a negative effect direction. Duration of disease seems to have no effect on adherence. There is the tendency that higher or middle age is associated with higher adherence. But in more than half of the reviews the effect was unclear. There is no clear effect of physical as well as mental comorbidity. Only one review showed the tendency of an effect for mental comorbidity. Also for gender the effect is not clear because the effect direction was heterogenic between and within the systematic reviews.ConclusionThe presented overview shows factors than can potentially have influence on adherence. Only for a few factors the influence on adherence was consistent. Most factors showed heterogeneous results regarding statistical significance and/or effect direction. However, belonging to an ethnic minority, unemployment and cost for the patient for their medications showed consistently a negative effect on adherence which indicates that there is a social gradient.

Project description:BackgroundThe efficacy of home fortification with iron-containing micronutrient powders varies between trials, perhaps in part due to population differences in adherence. We aimed to assess to what extent adherence measured by sachet count or self-reporting forms is in agreement with adherence measured by electronic device. In addition, we explored how each method of adherence assessment (electronic device, sachet count, self-reporting forms) is associated with haemoglobin concentration measured at the end of intervention; and to what extent baseline factors were associated with adherence as measured by electronic device.MethodsThree hundred thirty-eight rural Kenyan children aged 12-36 months were randomly allocated to three treatment arms (home fortification with two different iron formulations or placebo). Home fortificants were administered daily by parents or guardians over a 30 day-intervention period. We assessed adherence using an electronic device that stores and provides information of the time and day of opening of the container that was used to store the fortificants sachets in each child's residence. In addition, we assessed adherence by self-reporting and sachet counts. We also measured haemoglobin concentration at the end of intervention.ResultsAdherence, defined as having received at least 24 sachets (≥ 80%), during the 30-day intervention period was attained by only 60.6% of children as assessed by the electronic device. The corresponding values were higher when adherence was assessed by self-report (83.9%; difference: 23.3%, 95% CI: 18.8% to 27.8%) or sachet count (86.3%; difference: 25.7%, 95% CI: 21.0% to 30.4%). Among children who received iron, each 10 openings of the electronic cap of the sachet storage container were associated with an increase in haemoglobin concentration at the end of intervention by 1.2 g/L (95% CI: 0.0 to 1.9 g/L). Adherence was associated with the age of the parent but not with intervention group; with age, sex or anthropometric indices of the child; or with age or sex of the parent or guardian.ConclusionsThe use of self -reporting and sachet count may lead to overestimates of adherence to home fortification.Trial registrationThe trial was registered with ClinicalTrials.gov ( NCT02073149 ) on 25 February 2014.

Project description:BackgroundNon-adherence negatively affects the efficacy, safety and costs of therapies. Non-adherence is a multifactorial problem. This systematic review (SR) of SRs (overview) aims to identify factors that can influence the adherence of adult patients with chronic physical diseases.MethodsWe performed a systematic literature search in MEDLINE and Embase on June 13, 2018. We included SRs on the factors that can influence adherence in adult patients taking oral medications for treating physical chronic diseases. Two reviewers independently selected studies according to pre-defined inclusion criteria. Two reviewers independently assessed the risk of bias with the ROBIS tool. Data were extracted in standardized tables previously piloted by one reviewer and verified by a second reviewer. We synthesized data in tables in a structured narrative manner.ResultsWe included 21 SRs on eight different conditions. We rated eight SRs to be at low risk of bias and 13 to be at high risk of bias. Although higher education, employment, higher financial status and marriage/partnership mostly showed a positive effect on adherence, the impact was unclear because of the high uncertainty of the underlying evidence. The evidence indicates that socioeconomic status and social support might have a positive impact on adherence and that belonging to an ethnic minority might have a negative impact on adherence. Therapy-related factors (e.g., intake regime) and disease-related factors (e.g., duration) mostly showed no impact on adherence. Analysis of gender showed inconsistent results. Age might have a concave relation to adherence, i.e., adherence is lowest in very young and very old people. Depression has a negative impact on adherence. Impacts of other mental and physical comorbidities were uncertain. Co-payments (any or higher) have a negative impact on adherence. In contrast, the impacts of medication costs and insurance status were uncertain.ConclusionThis overview analyses factors that might impact adherence to oral therapies in adult patients with physical chronic diseases. Our overview suggests that there is a social gradient in adherence. However, for most factors, the evidence was not conclusive due to the risk of bias, inconsistency or imprecision.

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High adherence and its influencing factors on multiple micronutrient powders (MNPs).

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